ENUMERATIVE SEARCH ALGORITHM FOR ROBOTIC DISASSEMBLY LINE BALANCING PROBLEM, 35-43.

Ganesan Kanagaraj, Raju Naresh, and Vincent F. Yu

References

  1. [1] Y. Fang, Q. Liu, M. Li, Y. Laili, and D.T. Pham, Evolutionarymany-objective optimization for mixed-model disassembly linebalancing with multi-robotic workstations, European Journalof Operational Research, 276(1), 2019, 160–174.
  2. [2] J.L. Sager and M.R. Schmehl, U.S. Patent No. 5,040,056, U.S.Patent and Trademark Office, Washington, DC, 1991.
  3. [3] J. Liu, Z. Zhou, D.T. Pham, W. Xu, C. Ji, and Q. Liu,Collaborative optimization of robotic disassembly sequenceplanning and robotic disassembly line balancing problem usingimproved discrete Bees algorithm in remanufacturing, Roboticsand Computer-Integrated Manufacturing, 61, 2020, 101829.
  4. [4] A. Gungor, S.M. Gupta, K. Pochampally, and S.V. Kamarthi,Complications in disassembly line balancing, in Environmen-tally conscious manufacturing, Vol. 4193 (Bellingham, Wash-ington: International Society for Optics and Photonics, 2001),289–298.
  5. [5] B. Basdere and G. Seliger, Disassembly factories for electricaland electronic products to recover resources in product andmaterial cycles, Environmental Science & Technology, 37(23),2003, 5354–5362.
  6. [6] P. Gil, J. Pomares, S.V.P.C. Diaz, Candelas, and F. Tor-res, Flexible multi-sensorial system for automatic disassemblyusing cooperative robots, International Journal of ComputerIntegrated Manufacturing, 20(8), 2007, 757–772.
  7. [7] J.R. Duflou, G. Seliger, S. Kara, Y. Umeda, A. Ometto, andB. Willems, Efficiency and feasibility of product disassembly:A case-based study, CIRP Annals, 57(2), 2008, 583–600.
  8. [8] J. Li, M. Barwood, and S. Rahimifard, A multi-criteria assess-ment of robotic disassembly to support recycling and recovery,Resources, Conservation and Recycling, 140, 2019, 158–165.
  9. [9] C.S. D´ıaz Baca, S.T. Puente M´endez, and F. Torres, Auto-matic cooperative disassembly robotic system, Proceedings ofthe Sixth IASTED International Conference on Robotics andApplications: October 31–November 2, 2005, Cambridge, MA,USA, 2005, 197–202. ISBN 0-88986-521-3.
  10. [10] P. Yuan, M. Moallem, and R.V. Patel, A feedback schedulingframework for real-time robotic assembly systems, Interna-tional Journal of Robotics and Automation, 24(1), 2009, 10.
  11. [11] P.P.A. Kumar, R. Maheswaran, and M.S.V. Raj, A modifiedparticle swarm optimization to improve precision of complexassembly, International Journal of Robotics and Automation,31(4), 2016. DOI: 10.2316/Journal.206.2016.4.206-4483.
  12. [12] Y. Fang, H. Ming, M. Li, Q. Liu, and D.T. Pham, Multi-objective evolutionary simulated annealing optimisation formixed-model multi-robotic disassembly line balancing withinterval processing time, International Journal of ProductionResearch, 58(3), 2020, 846–862.
  13. [13] E. ¨Ozceylan, C.B. Kalayci, A. G¨ung¨or, and S.M. Gupta,Disassembly line balancing problem: a review of the state of theart and future directions, International Journal of ProductionResearch, 57(15–16), 2019, 4805–4827.
  14. [14] S.M. McGovern and S.M. Gupta, Combinatorial optimizationanalysis of the unary NP-complete disassembly line balanc-ing problem, International Journal of Production Research,45(18–19), 2007, 4485–4511.
  15. [15] S. Mete, Z.A. Cil, K. Apak, E. ¨Ozceylan, and A. Dolgui,A solution approach based on beam search algorithm fordisassembly line balancing problem, Journal of ManufacturingSystems, 41, 2016, 188–200.
  16. [16] A. ElSayed, E. Kongar, and S.M. Gupta, A genetic algorithmapproach to end-of-life disassembly sequencing for roboticdisassembly, Proc. of the Northeast Decision Sciences InstituteConf., NEDSI 2010, Alexandria, VA, USA, 2010, 26–28.
  17. [17] M. Alshibli, A. El Sayed, E. Kongar, T.M. Sobh, and S.M.Gupta, Disassembly sequencing using tabu search. Journal ofIntelligent & Robotic Systems, 82(1), 2016, 69–79.
  18. [18] J. Liu, Z. Zhou, D.T. Pham, W. Xu, J. Yan, A. Liu, andQ. Liu, An improved multi-objective discrete bee’s algorithmfor robotic disassembly line balancing problem in remanufac-turing, The International Journal of Advanced ManufacturingTechnology, 97(9–12), 2018, 3937–3962.
  19. [19] Q. Lu, Y. Ren, H. Jin, L. Meng, L. Li, C. Zhang, and J.W.Sutherland, A hybrid metaheuristic algorithm for a profit-oriented and energy-efficient disassembly sequencing problem,Robotics and Computer-Integrated Manufacturing, 61, 2020,101828.
  20. [20] Y. Tang, M. Zhou, E. Zussman, and R. Caudill, Disassemblymodeling, planning, and application, Journal of ManufacturingSystems, 21(3), 2002, 200.
  21. [21] A. Yoosefelahi, M. Aminnayeri, H. Mosadegh, and H.D. Ar-dakani, Type II robotic assembly line balancing problem: Anevolution strategies algorithm for a multi-objective model,Journal of Manufacturing Systems, 31(2), 2012, 139–151.
  22. [22] A. Koc, I. Sabuncuoglu, and E. Erel, Two exact formulationsfor disassembly line balancing problems with task precedencediagram construction using an AND/OR graph, IIE Transac-tions, 41(10), 2009, 866–881.
  23. [23] G. Levitin, J. Rubinovitz, and B. Shnits, A genetic algo-rithm for robotic assembly line balancing, European Journalof Operational Research, 168(3), 2006, 811–825.

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